Kirk Tanner
- Geriatrics and Gerontology top 1%
- Aging top 5%
- Molecular Biology top 5%
- Histone Deacetylase Inhibitors Research 5
- Genomics and Chromatin Dynamics 5
- Protein Tyrosine Phosphatases 4
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- Physiology top 2%
- Biochemistry top 5%
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- Glioma Diagnosis and Treatment 6
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- Metal complexes synthesis and properties 3
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- Computational Drug Discovery Methods 3
- Co-authors
- John M. DenuC. David AllisJoseph W. LandryRolf SternglanzPaolo Sassone‐CorsiWang L. CheungPeter CheungMichael Langer
- Journals
- Journal of Biological Chemistry (5 papers)Biochemistry (5 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Kirk Tanner
30 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Geriatrics and Gerontology 347
- Aging 70
- Molecular Biology 2.2k
- Physiology 137
- Biochemistry 135
Countries citing papers authored by Kirk Tanner
This map shows the geographic impact of Kirk Tanner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kirk Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirk Tanner more than expected).
Fields of papers citing papers by Kirk Tanner
This network shows the impact of papers produced by Kirk Tanner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kirk Tanner. The network helps show where Kirk Tanner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kirk Tanner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2022 | 9 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 52 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 8 | |
| 7 | 2017 | 5 | |
| 8 | 2016 | 4 | |
| 9 | 2015 | 18 | |
| 10 | 2010 | 56 | |
| 11 | 2004 | 11 | |
| 12 | 2002 | 46 | |
| 13 | Synergistic Coupling of Histone H3 Phosphorylation and Acetylation in Response to Epidermal Growth Factor Stimulationbreakdown → | 2000 | 643 |
| 14 | 2000 | 126 | |
| 15 | 2000 | 85 | |
| 16 | 1999 | 193 | |
| 17 | 1999 | 139 | |
| 18 | 1999 | 65 | |
| 19 | Specific and Reversible Inactivation of Protein Tyrosine Phosphatases by Hydrogen Peroxide: Evidence for a Sulfenic Acid Intermediate and Implications for Redox Regulationbreakdown → | 1998 | 775 |
| 20 | 1997 | 5 |
About Kirk Tanner
Kirk Tanner is a scholar working on Genetics, Statistics and Probability and Oncology, having authored 30 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Genomics and Chromatin Dynamics (5 papers), Protein Tyrosine Phosphatases (4 papers), DNA Repair Mechanisms (3 papers), Metal complexes synthesis and properties (3 papers), Computational Drug Discovery Methods (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (347 citations), Aging (70 citations) and Molecular Biology (2.2k citations). Kirk Tanner has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include John M. Denu, C. David Allis, Joseph W. Landry, Rolf Sternglanz, Paolo Sassone‐Corsi, Wang L. Cheung, Peter Cheung, Michael Langer, Young‐Joo Kim and Jack Kyte. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Clinical Oncology, Journal of Translational Medicine and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.